LightGBMModelEval

LightGBM model evaluation step

SageMaker step type	Processing
Node type	internal (consumes upstream, produces downstream)
Container entry point	lightgbm_model_eval.py
Interface file	steps/interfaces/lightgbm_model_eval.step.yaml

Compute

Compute kind	framework
SDK class	PyTorch (SageMaker DLC via image_uris.retrieve)

Functionality

LightGBM model evaluation script. Loads trained model, processes evaluation data, generates performance metrics and visualizations.

Inputs (dependencies)

Input	Type	Required	Compatible producers
model_input	model_artifacts	yes	LightGBMTraining, XGBoostTraining, PyTorchTraining, DummyTraining, LightGBMModel, XGBoostModel, PyTorchModel
processed_data	processing_output	yes	TabularPreprocessing, CradleDataLoading, RiskTableMapping, CurrencyConversion

Outputs

Output	Type
eval_output	processing_output
metrics_output	processing_output

Consumers (downstream steps)

Steps that declare this step as a compatible input source:

• ActiveSampleSelection

• ModelCalibration

• PercentileModelCalibration

• PseudoLabelMerge

• TSAModelCalibration

Framework requirements

Package	Version
pandas	>=1.3.0
numpy	>=1.21.0
lightgbm	>=3.3.0
matplotlib	>=3.5.0

---

← Back to the Step Catalog